Qualitative risk assessment of legacy wells based on publicly available data for class VI well permit applications-Illinois basin case study

被引:5
作者
Arbad, Nachiket [1 ]
Watson, Marshall [1 ]
Heinze, Lloyd [1 ]
Emadi, Hossein [1 ]
Herd, Bob L. [1 ]
机构
[1] Texas Tech Univ, Bob L Herd Dept Petr Engn, Lubbock, TX 79409 USA
关键词
Carbon capture & storage (CCS); Risk assessment (RA); Well integrity; Legacy wells; UIC class VI well permitting; GEOLOGIC CO2 STORAGE; INTEGRITY ASSESSMENT; GAS MIGRATION; LEAKAGE; CEMENT; PRESSURE; FIELD; OIL;
D O I
10.1016/j.ijggc.2024.104106
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Carbon Capture & Storage (CCS) refers to capturing the anthropogenic carbon dioxide (CO2) at a source followed by injecting and storing it safely in the subsurface. The success of the CCS projects therefore heavily relies on how efficiently the confining zones (containment seals) prevent migration of the CO2 to the surface and/or to the underground sources of drinking water (USDW) through leakage pathways. CCS projects requires drilling of Underground Injection Control (UIC) Class VI wells for permanent storage of CO2 in subsurface. Detailed information of all the wells within the Area of Review (AoR) is needed to develop the map and tabulation components of the Class VI well permit application. This paper discusses the generic process that can be used by permit applicants to develop the dataset necessary for preparing the map and tabulation components of the Class VI permit application and perform qualitative risk assessment of all the wells within the AoR. This methodology directs the corrective action plans as well as monitoring plans to some extent. Results of the application of the newly developed methodology for wells in Illinois basin is discussed in detail. This methodology can be applied to all wells including orphaned wells, abandoned wells, active oil and gas wells, stratigraphic wells, disposal wells, etc. This methodology generalized categorization of legacy wells that will help in easier comparison of different CCS projects across the globe. The qualitative risk assessment methodology discussed in this paper is a good starting point for developing crossflow modeling.
引用
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页数:11
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